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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 22812
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    Explanations

    specific mentions of experience

    oai_token-act-pair · gpt-3.5-turbo

    phrases that mention experience in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ichick
    -0.76
     Saturn
    -0.69
    raph
    -0.69
     Anthem
    -0.65
    react
    -0.62
    pta
    -0.61
    ificantly
    -0.61
    tan
    -0.60
    rary
    -0.60
     Pengu
    -0.58
    POSITIVE LOGITS
     gained
    0.75
     working
    0.74
     dealing
    0.73
    ience
    0.73
     overseeing
    0.72
    KER
    0.72
     veter
    0.71
     navigating
    0.71
     managing
    0.71
    ILLE
    0.70
    Activations Density 0.064%

    No Known Activations